Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Martínez, Maria Vanina"'
Autor:
Rago, Antonio, Martinez, Maria Vanina
As AI models become ever more complex and intertwined in humans' daily lives, greater levels of interactivity of explainable AI (XAI) methods are needed. In this paper, we propose the use of belief change theory as a formal foundation for operators t
Externí odkaz:
http://arxiv.org/abs/2408.06875
Preferences are a pivotal component in practical reasoning, especially in tasks that involve decision-making over different options or courses of action that could be pursued. In this work, we focus on repairing and querying inconsistent knowledge ba
Externí odkaz:
http://arxiv.org/abs/2402.09265
Autor:
Cifuentes, Santiago, Bertossi, Leopoldo, Pardal, Nina, Abriola, Sergio, Martinez, Maria Vanina, Romero, Miguel
Attribution scores reflect how important the feature values in an input entity are for the output of a machine learning model. One of the most popular attribution scores is the SHAP score, which is an instantiation of the general Shapley value used i
Externí odkaz:
http://arxiv.org/abs/2401.12731
Autor:
Furman, Damian A., Torres, Pablo, Rodriguez, Jose A., Martinez, Lautaro, Alemany, Laura Alonso, Letzen, Diego, Martinez, Maria Vanina
We present an enrichment of the Hateval corpus of hate speech tweets (Basile et. al 2019) aimed to facilitate automated counter-narrative generation. Comparably to previous work (Chung et. al. 2019), manually written counter-narratives are associated
Externí odkaz:
http://arxiv.org/abs/2208.01099
In the deeply interconnected world we live in, pieces of information link domains all around us. As graph databases embrace effectively relationships among data and allow processing and querying these connections efficiently, they are rapidly becomin
Externí odkaz:
http://arxiv.org/abs/2206.07504
Autor:
Zanitti, Gaston, Soto, Yamil, Iovene, Valentin, Martinez, Maria Vanina, Rodriguez, Ricardo, Simari, Gerardo, Wassermann, Demian
Researchers in neuroscience have a growing number of datasets available to study the brain, which is made possible by recent technological advances. Given the extent to which the brain has been studied, there is also available ontological knowledge e
Externí odkaz:
http://arxiv.org/abs/2202.11333
Graph databases are becoming widely successful as data models that allow to effectively represent and process complex relationships among various types of data. As with any other type of data repository, graph databases may suffer from errors and dis
Externí odkaz:
http://arxiv.org/abs/2109.14112
With the availability of large datasets and ever-increasing computing power, there has been a growing use of data-driven artificial intelligence systems, which have shown their potential for successful application in diverse areas. However, many of t
Externí odkaz:
http://arxiv.org/abs/2108.02006
Autor:
Pérez, Juan Manuel, Rajngewerc, Mariela, Giudici, Juan Carlos, Furman, Damián A., Luque, Franco, Alemany, Laura Alonso, Martínez, María Vanina
In recent years, the extraction of opinions and information from user-generated text has attracted a lot of interest, largely due to the unprecedented volume of content in Social Media. However, social researchers face some issues in adopting cutting
Externí odkaz:
http://arxiv.org/abs/2106.09462
Publikováno v:
In International Journal of Approximate Reasoning March 2024 166
